Reinforcement learning with Gaussian processes

Proceedings of the 22nd international conference on Machine learning - ICML '05 ◽

10.1145/1102351.1102377 ◽

2005 ◽

Author(s):

Yaakov Engel ◽

Shie Mannor ◽

Ron Meir

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes

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Gaussian processes for informative exploration in reinforcement learning

2013 IEEE International Conference on Robotics and Automation ◽

10.1109/icra.2013.6630938 ◽

2013 ◽

Author(s):

Jen Jen Chung ◽

Nicholas R.J. Lawrance ◽

Salah Sukkarieh

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes

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Controlling blood glucose variability under uncertainty using reinforcement learning and Gaussian processes

Applied Soft Computing ◽

10.1016/j.asoc.2015.06.041 ◽

2015 ◽

Vol 35 ◽

pp. 310-332 ◽

Author(s):

Mariano De Paula ◽

Luis Omar Ávila ◽

Ernesto C. Martínez

Keyword(s):

Reinforcement Learning ◽

Blood Glucose ◽

Gaussian Processes ◽

Glucose Variability ◽

Blood Glucose Variability

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Off-line path integral reinforcement learning using stochastic robot dynamics approximated by sparse pseudo-input Gaussian processes: Application to humanoid robot motor learning in the real environment

2013 IEEE International Conference on Robotics and Automation ◽

10.1109/icra.2013.6630740 ◽

2013 ◽

Author(s):

Norikazu Sugimoto ◽

Jun Morimoto

Keyword(s):

Reinforcement Learning ◽

Motor Learning ◽

Path Integral ◽

Gaussian Processes ◽

Humanoid Robot ◽

Robot Dynamics ◽

The Real ◽

Real Environment ◽

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Reinforcement learning with guided policy search using Gaussian processes

The 2012 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2012.6252509 ◽

2012 ◽

Author(s):

Hunor S. Jakab ◽

Lehel Csato

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes ◽

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Gaussian processes in inverse reinforcement learning

2010 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2010.5581063 ◽

2010 ◽

Author(s):

Zhuo-Jun Jin ◽

Hui Qian ◽

Miao-Liang Zhu

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes ◽

Inverse Reinforcement Learning

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Human-Aware Reinforcement Learning for Fault Recovery Using Contextual Gaussian Processes

Journal of Aerospace Information Systems ◽

10.2514/1.i010921 ◽

2021 ◽

pp. 1-13

Author(s):

Steve McGuire ◽

P. Michael Furlong ◽

Christoffer Heckman ◽

Simon Julier ◽

Nisar Ahmed

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes ◽

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Bayesian reinforcement learning in continuous POMDPs with gaussian processes

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems ◽

10.1109/iros.2009.5354013 ◽

2009 ◽

Author(s):

Patrick Dallaire ◽

Camille Besse ◽

Stephane Ross ◽

Brahim Chaib-draa

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes ◽

Bayesian Reinforcement Learning

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Applying Gaussian Processes to Reinforcement Learning for Fixed-Structure Controller Synthesis

IFAC Proceedings Volumes ◽

10.3182/20140824-6-za-1003.01623 ◽

2014 ◽

Vol 47 (3) ◽

pp. 10391-10396

Author(s):

Hildo Bijl ◽

Jan-Willem van Wingerden ◽

Michel Verhaegen

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes ◽

Controller Synthesis ◽

Fixed Structure

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Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp

Proceedings 2007 IEEE International Conference on Robotics and Automation ◽

10.1109/robot.2007.363075 ◽

2007 ◽

Author(s):

Jonathan Ko ◽

Daniel J. Klein ◽

Dieter Fox ◽

Dirk Haehnel

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes ◽

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Model-free safe reinforcement learning for chemical processes using Gaussian processes

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2021.08.292 ◽

2021 ◽

Vol 54 (3) ◽

pp. 504-509

Author(s):

Thomas Savage ◽

Dongda Zhang ◽

Max Mowbray ◽

Ehecatl Antonio Del Río Chanona

Keyword(s):

Reinforcement Learning ◽

Gaussian Processes ◽

Chemical Processes ◽

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